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Dense Paraphrasing for Textual Enrichment. (arXiv:2210.11563v1 [cs.CL])
Oct. 24, 2022, 1:16 a.m. | Jingxuan Tu, Kyeongmin Rim, Eben Holderness, James Pustejovsky
cs.CL updates on arXiv.org arxiv.org
Understanding inferences and answering questions from text requires more than
merely recovering surface arguments, adjuncts, or strings associated with the
query terms. As humans, we interpret sentences as contextualized components of
a narrative or discourse, by both filling in missing information, and reasoning
about event consequences. In this paper, we define the process of rewriting a
textual expression (lexeme or phrase) such that it reduces ambiguity while also
making explicit the underlying semantics that is not (necessarily) expressed in
the …
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